Proceedings of the future technologies conference (FTC) 2020. Volume 3 / Kohei Arai, Supriya Kapoor, Rahul Bhatia, editors.

Format
Book
Language
English
Εdition
1st ed. 2021.
Published/​Created
  • Cham, Switzerland : Springer, [2021]
  • 2021
Description
1 online resource (XIII, 1055 p. 441 illus., 338 illus. in color.)

Details

Subject(s)
Editor
Series
  • Advances in intelligent systems and computing ; Volume 1290. [More in this series]
  • Advances in Intelligent Systems and Computing ; Volume 1290
Summary note
This book provides the state-of-the-art intelligent methods and techniques for solving real-world problems along with a vision of the future research. The fifth 2020 Future Technologies Conference was organized virtually and received a total of 590 submissions from academic pioneering researchers, scientists, industrial engineers, and students from all over the world. The submitted papers covered a wide range of important topics including but not limited to computing, electronics, artificial intelligence, robotics, security and communications and their applications to the real world. After a double-blind peer review process, 210 submissions (including 6 poster papers) have been selected to be included in these proceedings. One of the meaningful and valuable dimensions of this conference is the way it brings together a large group of technology geniuses in one venue to not only present breakthrough research in future technologies, but also to promote discussions and debate of relevant issues, challenges, opportunities and research findings. The authors hope that readers find the book interesting, exciting and inspiring. .
Source of description
Description based on print version record.
Contents
  • Biofluid-Biostructure Interaction Analyses using Comprehensive Patient-Specific Geometries
  • Usability Evaluation of Low-Cost Smart Pill Dispenser by Health Care Practitioners
  • Dynamic Causality Knowledge Graph Generation for Supporting the Chatbot Healthcare System
  • Healthcare Emergency Room Optimization using a Process Learning Algorithm .
ISBN
3-030-63092-7
Doi
  • 10.1007/978-3-030-63092-8
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